National Supercomputing Internet Launches DeepSeek-V4-Flash Official API with One-Click Access
China's National Supercomputing Internet has launched the DeepSeek-V4-Flash-0731 API, offering enterprises and developers one-click access to the model, which promises agentic and instruction-following capabilities on par with leading closed-source models.
China's National Supercomputing Internet has officially launched the API calling service and model files for DeepSeek-V4-Flash-0731, the official public-beta version of DeepSeek's latest model. The move follows DeepSeek's announcement on July 31 that the DeepSeek-V4-Flash official API had entered public testing.
According to the platform, DeepSeek-V4-Flash-0731 has undergone extensive post-training work, resulting in significantly enhanced agentic capabilities and greatly improved instruction-following abilities. In multiple benchmark tests, the official DeepSeek-V4-Flash version is reported to perform at a level comparable to the strongest closed-source models currently available.
The National Supercomputing Internet is now providing API invocation services for the model to enterprises and developers. Users do not need complex environment configuration; the service supports one-click integration for rapid deployment. Developers can access the model by logging into the National Supercomputing Internet official website on PC, navigating through the "Services" dropdown menu to the "Model Services" section, and directly reaching the model API invocation page.
Beyond this release, the platform's AI community has accumulated over 1,700 popular domestic and international open-source large models, covering mainstream series such as DeepSeek, GLM, Qwen, and Kimi. The platform has also fully launched API interfaces for multiple domestic open-source large models, including DeepSeek-V4, MiniMax-M3, and Kimi-K3.
With its core nodes officially put into operation, the National Supercomputing Internet has become China's first 100,000-card-level super-intelligent fusion computing resource pool, providing a substantial infrastructure foundation for large-scale AI model training and deployment.
In related news, DeepSeek has indicated that the official version of V4-Pro will be released "as soon as possible."